Search Results for "sandbox:/mnt/data/project_plan.pod" - Page 12
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Showing 649 open source projects for "sandbox:/mnt/data/project_plan.pod"
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Securden Password VaultStore, manage, and share passwords, files, SSH keys, and DevOps secrets among IT teams. Enforce password security best practices. Ensure compliance with industry standards using comprehensive audit trails.
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q - Text as Data
Run SQL directly on CSV or TSV files
q is a command line tool that allows direct execution of SQL-like queries on CSVs/TSVs (and any other tabular text files). q treats ordinary files as database tables, and supports all SQL constructs, such as WHERE, GROUP BY, JOINs etc. It supports automatic column name and column type detection, and provides full support for multiple encodings. q fully supports all types of encoding. Use -e data-encoding to set the input data encoding, -Q query-encoding to set the query encoding, and use -E output-encoding to set the output encoding. Sensible defaults are in place for all three parameters. Files with BOM: Files which contain a BOM (Byte Order Mark) are not properly supported inside python's csv module. q contains a workaround that allows reading UTF8 files which contain a BOM - Use -e utf-8-sig for this. ... -
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Smart Contract Sanctuary
A home for ethereum smart contracts
...Contains smart contract sources for various networks, grouped by the first two chars of the contract address. A scriptable semantic grep utility for solidity (crunch numbers, find specific contracts, extract data) Semgrep is a fast, open-source, static analysis tool for finding bugs and enforcing code standards at editor, commit, and CI time, and now supports Solidity! A powerful online code search service that can be used to search the sanctuary without cloning. -
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Interpret-Text
State-of-the-art explainers for text-based machine learning models
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard. Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models. Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results.... -
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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. -
The AI coach for teams, built on validated assessments.Give managers and teams proactive, contextual coaching to lead effectively, communicate clearly, and navigate real work situations as they happen.
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Photonix Photo Manager
A modern, web-based photo management server
...If you don't mind putting up with broken parts or want to help out, run the Docker image and give it a go. I'd love for other contributors to get involved. You can move some photos into the folder data/photos and they should get detected and imported immediately. Once you have finished trying out the system you can edit the volume in the docker-compose.yml file where it says ./data/photos to mount wherever you usually keep photos. System database, thumbnails and other cache data is stored separately from the photos so shouldn't pollute the area. ... -
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PersonGen
A minor Project in Python which uses the RandomUser API .
A Small Program in Python That Makes Use of RandomUser API To Generate Random Person Data. -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
...For clarity and educational value, each example is accompanied by explanatory comments or markdown cells to illustrate what the code does and why — a design that makes it especially suitable for self-learners or students following along with real data. Besides raw implementations, the repo often shows best practices using higher-level constructs (e.g. dataset pipelines, estimators, layers) which reflect modern TensorFlow workflows rather than only textbook-style code. -
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itamm
Tool to design and share enterprise solutions, services and processes
The tool is for people who design, analyze, optimize and develop processes, services and solution architectures. IT(A)-MM is a tool to design models of solutions, services and enterprise processes. It allows you to visualize data using popular BPMN and ArchiMate visualization notation. It also has its own extensible notation for visualizing enterprise environment objects. IT(A)-MM is easy to use and allows you to use it wherever you are. Using IT(A)-MM can be the first step towards deploy of the AIAS "A-STACK" to the enterprise environment. AIAS "A-STACK" is the complex tool for enterprise architecture management, IT infrastructure monitoring, meta-data management. ... -
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ReconSpider
Most Advanced Open Source Intelligence (OSINT) Framework
...ReconSpider can be used by Infosec Researchers, Penetration Testers, Bug Hunters, and Cyber Crime Investigators to find deep information about their target. ReconSpider aggregate all the raw data, visualize it on a dashboard, and facilitate alerting and monitoring on the data. Recon Spider also combines the capabilities of Wave, Photon and Recon Dog to do a comprehensive enumeration of attack surfaces. Reconnaissance is a mission to obtain information by various detection methods, about the activities and resources of an enemy or potential enemy, or geographic characteristics of a particular area. ... -
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PyTorchVideo
A deep learning library for video understanding research
...The library includes efficient implementations of state-of-the-art architectures such as SlowFast, X3D, and MViT, optimized for both research prototyping and production inference. It supports video I/O pipelines, data augmentation, distributed training, and mixed precision computation for large-scale experiments. PyTorchVideo also connects seamlessly with other Meta AI tools such as Detectron2 and PyTorch3D for multimodal video analysis. Designed to accelerate research and deployment, it serves as a unified framework for reproducible, high-performance video AI development. -
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restless
A lightweight REST miniframework for Python
...Works great with Django, Flask, Pyramid & Tornado, but should be useful for many other Python web frameworks. Based on the lessons learned from Tastypie & other REST libraries. Restless tries to be RESTful by default, but flexible enough. The main Resource class has data methods (that you implement) for all the main RESTful actions. It also uses HTTP status codes as correctly as possible. Restless is BYOD (bring your own data) and hence, works with almost any ORM/data source. If you can import a module to work with the data & can represent it as JSON, Restless can work with it. Restless is small & easy to keep in your head. ... -
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ReinventCommunity
Jupyter Notebook tutorials for REINVENT 3.2
This repository is a collection of useful jupyter notebooks, code snippets and example JSON files illustrating the use of Reinvent 3.2. -
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ML workspace
All-in-one web-based IDE specialized for machine learning
All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated. ... -
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Arraymancer
A fast, ergonomic and portable tensor library in Nim
Arraymancer is a tensor and deep learning library for the Nim programming language, designed for high-performance numerical computations and machine learning applications. -
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TransPose
PyTorch Implementation for "TransPose, Keypoint localization
TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on. -
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Pytorch Points 3D
Pytorch framework for doing deep learning on point clouds
...Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format. -
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Big List of Naughty Strings
List of strings which have a high probability of causing issues
The Big List of Naughty Strings is a community-maintained catalog of “gotcha” inputs that commonly break software, from unusual Unicode to SQL and script injection payloads. It exists so developers and QA engineers can easily test edge cases that normal test data would miss, such as zero-width characters, right-to-left marks, emojis, foreign alphabets, and long or malformed strings. By throwing these strings at forms, APIs, databases, and UIs, teams can discover encoding bugs, sanitizer gaps, rendering issues, and security oversights early. The list is language-agnostic and repository-friendly, meaning you can consume it from CI pipelines or local scripts with minimal setup. ... -
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speedtest-cli
Command line interface for testing internet bandwidth using speedtest
...Test the internet connection of your Linux desktop, a remote server or even lower-powered devices such as the Raspberry Pi with the Speedtest Server Network. Set up automated scripts to collect connection performance data, including trends over time. -
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BMC
Notes on Scientific Computing for Biomechanics
This repository is a collection of lecture notes and code on scientific computing and data analysis for Biomechanics and Motor Control. -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
...Users can quickly adapt the examples for their own remote sensing, environmental monitoring, or spatial data science projects, and can run the code in environments like Google Colab. -
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BudgetML
Deploy a ML inference service on a budget in 10 lines of code
...Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST, Uvicorn/Gunicorn, backend servers etc., that are simply not within the scope of a typical data scientist. BudgetML is our answer to this challenge. It is supposed to be fast, easy, and developer-friendly. It is by no means meant to be used in a full-fledged production-ready setup. It is simply a means to get a server up and running as fast as possible with the lowest costs possible. -
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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
...These large models are trained on huge supervised corpora, like the ImageNet. And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce. In situations like this, we take the models’ pre-trained weights, append a new classifier layer on top of it, and retrain the network. This is called transfer learning, and is one of the most used techniques in CV. Aside from a few tricks when performing fine-tuning (if the case), it has been shown (many times) that if training for a new task, models initialized with pre-trained weights tend to learn faster and be more accurate then training from scratch using random initialization. -
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...The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that can be adapted for custom datasets, making it useful for experimenting with retrieval systems in computer vision. By leveraging CNN architectures, the project showcases how learned embeddings can capture semantic similarity across varied images. This resource serves as both an educational reference and a foundation for further exploration in image retrieval research.
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BeaEngine 5
BeaEngine disasm project
BeaEngine is a C library designed to decode instructions from 16-bit, 32-bit and 64-bit intel architectures. It includes standard instructions set and instructions set from FPU, MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, VMX, CLMUL, AES, MPX, AVX, AVX2, AVX512 (VEX & EVEX prefixes), CET, BMI1, BMI2, SGX, UINTR, KL, TDX and AMX extensions. If you want to analyze malicious codes and more generally obfuscated codes, BeaEngine sends back a complex structure that describes precisely the... -
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NLP Architect
A model library for exploring state-of-the-art deep learning
...The library is designed to be a tool for model development: data pre-processing, build model, train, validate, infer, save or load a model.
